New performance data of rCUDA presented at Slurm User Group Meeting 2015

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A presentation about the integration of rCUDA with Slurm was done at Slurm User Group Meeting 2015, Washington DC, USA, last 15th September. The presentation included new performance data in a 16-node cluster. You can access the slides of the talk at this link.

Pros and cons of rCUDA presented at HPC Advisory Council Brazil Conference 2015

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rCUDA was presented on 26th August 2015 at the HPC Advisory Council Brazil Conference, which took place in Petropolis, Brazil. The talk discussed the pros and cons of the rCUDA technology. You can access the slides of the talk at this link.

rCUDA successfully presented in a major international investment bank

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On 11th August, 2015 rCUDA has been successfully presented to the quantitative analysis team of a major international investment bank at its European headquarters located in the City of London.

New rCUDA version will be released during ISC'15

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The rCUDA Team will release rCUDA v15.07 during the ISC'15 exhibition at Frankfurt. The new rCUDA version provides support for CUDA 7.0 along with support for dual-port InfiniBand cards. The cuDNN CUDA library is also partially supported. Notice the change in the version number policy, which is now based on the year and month of the release.

Come to the Mellanox booth and play with the new rCUDA demo

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The rCUDA Team invites you to challenge our server with the new rCUDA demo. Write down a number on our tablet and the deep learning system will guess it. You may win an NVIDIA USB pendrive.

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The rCUDA Team has two new members

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The rCUDA Team keeps growing and is pleased to welcome two new members:  Javier Prades and Fernando Campos. The rCUDA Team hopes they will enjoy their work within our team and wishes them a fruitful collaboration.

New rCUDA demo at Mellanox booth during ISC'15 in Frankfurt

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If you plan to attend the ISC'15 exhibition next week, please visit the new rCUDA demo at Mellanox booth. The new demo features machine learning by making use of the cuDNN NVIDIA library.

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